Periodic Labs advances toward cracking condensed matter physics superconductor problem

Periodic Labs, the team behind high-throughput materials labs in Menlo Park, reports progress on one of condensed matter physics' hardest problems.

Its open-source model Neon, trained with mid-training and RL on 1,300 H200s plus months of lab data, surpasses GPT-6 Astra on the company's analysis benchmark.

The work targets materials science challenges including superconductors, magnets, and semiconductors.